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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Samuel Atta Antwi

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Open access Aug 2026

TIBER-YOLO: an improved lightweight model for underwater object detection

This study presents TRACON + Inner-WIoU + BiFPN + EMPC-DetectoR (TIBER-YOLO), an improved lightweight detector for underwater object detection that reduces model size, parameter count, and computational demand while reducing the number of model parameters.

Samuel Atta Antwi, Joshua Yaw Amoako, Michael Enyan · 0 citations
Jul 2026

Enhancing underwater object detection through bidirectional cross-scale gated feature fusion

Results indicate that RCG-YOLO provides a practical accuracy improvement over YOLOv8n for underwater object detection, and its higher GFLOPs and lower frames per second compared with YOLOv8n indicate that the method prioritizes accuracy over maximum inference efficiency.

Samuel Atta Antwi, Zhiyu Zhou, Haiyan Wang · 0 citations

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